Triple
T34836557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großer Musikvereinssaal |
E1004214
|
entity |
| Predicate | acousticQualityRanking |
P166537
|
FINISHED |
| Object | among top concert halls worldwide |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: among top concert halls worldwide | Statement: [Großer Musikvereinssaal, acousticQualityRanking, among top concert halls worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acousticQualityRanking Context triple: [Großer Musikvereinssaal, acousticQualityRanking, among top concert halls worldwide]
-
A.
recordQuality
Indicates the assessed level or standard of quality associated with a particular record.
-
B.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
C.
audioReputation
chosen
Indicates how an entity is regarded or evaluated based on its audio-related qualities, behavior, or history.
-
D.
hasAcousticsSuitableFor
Indicates that something possesses acoustic properties that are appropriate or well-suited for a particular use, activity, or environment.
-
E.
isAcoustic
Indicates that something produces sound using natural resonance or mechanical vibration rather than electronic amplification or synthesis.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.